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Effects of gait support in patients with spinocerebellar degeneration by a wearable robot based on synchronization control

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, September 2018
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Title
Effects of gait support in patients with spinocerebellar degeneration by a wearable robot based on synchronization control
Published in
Journal of NeuroEngineering and Rehabilitation, September 2018
DOI 10.1186/s12984-018-0425-4
Pubmed ID
Authors

Atsushi Tsukahara, Kunihiro Yoshida, Akira Matsushima, Kumiko Ajima, Chika Kuroda, Noriaki Mizukami, Minoru Hashimoto

Abstract

Spinocerebellar degeneration (SCD) mainly manifests a cerebellar ataxic gait, leading to marked postural sway and the risk of falling down. Gait support using a wearable robot is expected to be an effective solution to maintaining the status quo and/or delaying symptom progression. The aim of this study was to evaluate the effects of gait support in patients with SCD by using a wearable robotic system called curara ®; while undergoing walking tests. The curara system assists both the hip and knee joints and supports the wearer's rhythmic gait using a synchronization control based on a central pattern generator. The system reflects the wearer's intended motion in response to the gait support by detecting an interactive force that is generated from slight movements of the wearer. The degree of coordinated motion between the robot and the wearer can be adjusted by modifying the synchronization gain. In this study, we provided gait support using three high-gain conditions (A, B, C) to more easily follow the wearer's movement in each joint. The synchronization gains for both the hip and knee joints (i.e., Ch and Ck) were set at 0.5 for condition A and at 0.4 for condition B. Condition C had different gains for the hip and knee joints (i.e., Ch=0.4 and Ck=0.5). With the walking test, we assessed the effects of the gait support provided by the curara system on walking smoothness (measured using the harmonic ratio: HR) and spatiotemporal parameters (gait speed, stride length, cadence) in SCD patients (n=12). We compared the performance between the three high-gain conditions and without assistance from the robot. Under condition C, the HRs in the anteroposterior, mediolateral, and vertical directions (HR-AP, HR-ML, and HR-V) were especially high compared with those under conditions A and B. The results of the statistical analyses using repeated measures analysis of variance followed by Tukey's test showed that gait support with condition C results in a statistically significant increase in the HR-AP (2.04 ±0.52; p=0.025) and HR-V (2.06 ±0.37; p=0.032) when compared with walking without assistance from the system. In contrast, the gait speed, stride length, and cadence under condition C were no major changes in most patients, compared with the patient's walking without assistance. The significantly increased HR indicates that gait support under condition C achieved smoother walking than when not wearing the power unit of the system. Consequently, we suggest that gait support using the curara system has the potential to improve walking smoothness in patients with SCD.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 7 21%
Student > Bachelor 3 9%
Student > Doctoral Student 1 3%
Other 1 3%
Other 5 15%
Unknown 9 27%
Readers by discipline Count As %
Nursing and Health Professions 5 15%
Engineering 5 15%
Medicine and Dentistry 3 9%
Business, Management and Accounting 1 3%
Psychology 1 3%
Other 7 21%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2018.
All research outputs
#20,533,782
of 23,103,903 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,152
of 1,294 outputs
Outputs of similar age
#297,603
of 342,003 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#21
of 25 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,294 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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